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Do Spatially-Implicit Estimates of Neutral Migration Comply with Seed Dispersal Data in Tropical Forests?

机译:中性迁移的空间隐式估计是否符合热带森林种子扩散数据?

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摘要

Neutral community models have shown that limited migration can have a pervasive influence on the taxonomic composition of local communities even when all individuals are assumed of equivalent ecological fitness. Notably, the spatially implicit neutral theory yields a single parameter I for the immigration-drift equilibrium in a local community. In the case of plants, seed dispersal is considered as a defining moment of the immigration process and has attracted empirical and theoretical work. In this paper, we consider a version of the immigration parameter I depending on dispersal limitation from the neighbourhood of a community. Seed dispersal distance is alternatively modelled using a distribution that decreases quickly in the tails (thin-tailed Gaussian kernel) and another that enhances the chance of dispersal events over very long distances (heavily fat-tailed Cauchy kernel). Our analysis highlights two contrasting situations, where I is either mainly sensitive to community size (related to ecological drift) under the heavily fat-tailed kernel or mainly sensitive to dispersal distance under the thin-tailed kernel. We review dispersal distances of rainforest trees from field studies and assess the consistency between published estimates of I based on spatially-implicit models and the predictions of the kernel-based model in tropical forest plots. Most estimates of I were derived from large plots (10–50 ha) and were too large to be accounted for by a Cauchy kernel. Conversely, a fraction of the estimates based on multiple smaller plots (1 ha) appeared too small to be consistent with reported ranges of dispersal distances in tropical forests. Very large estimates may reflect within-plot habitat heterogeneity or estimation problems, while the smallest estimates likely imply other factors inhibiting migration beyond dispersal limitation. Our study underscores the need for interpreting I as an integrative index of migration limitation which, besides the limited seed dispersal, possibly includes habitat filtering or fragmentation.
机译:中性社区模型表明,即使假定所有个体都具有同等的生态适应能力,有限的迁徙也会对当地社区的生物分类构成产生普遍影响。值得注意的是,空间隐性中性理论为当地社区的移民漂移均衡产生了一个单一的参数I。就植物而言,种子传播被视为移民过程的决定性时刻,并吸引了经验和理论研究。在本文中,我们根据移民社区的扩散限制考虑移民参数I的版本。种子扩散距离的替代方法是使用分布在尾巴中迅速减小的分布(细尾高斯果仁)和另一种在很长距离内增加扩散事件机会(重脂肪尾的柯西果仁)的模型。我们的分析突出了两种截然不同的情况,在这种情况下,我要么对重尾巴的籽粒主要对群落大小(与生态漂移有关)敏感,要么对细尾巴的籽粒的散布距离敏感。我们从实地研究中回顾了雨林树木的散布距离,并评估了基于空间隐式模型的I估计值与热带森林样地基于核的模型预测之间的一致性。 I的大多数估计值来自大块土地(10–50公顷),并且太大而无法用柯西内核解释。相反,基于多个较小样地(1公顷)的估算值的一部分似乎太小,无法与热带森林中所报告的扩散距离范围保持一致。很大的估计值可能反映了小区内生境的异质性或估计问题,而最小的估计值可能暗示了其他因素会阻止迁移超出分散限制。我们的研究强调需要将I解释为迁移限制的综合指标,该指标除了限制种子扩散外,还可能包括栖息地过滤或破碎。

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